Starting replication at:  1758641960 

Running: code/helper_analysis.R 
Completed: code/helper_analysis.R in 0.005398989 seconds

Running: code/classification_svm.R 
indexing labeled_unbalanced_sample_strong.csv [=================] 9.23GB/s, eta:  0s                                                                                    indexing labeled_unbalanced_sample_combined.csv [==============] 13.84GB/s, eta:  0s                                                                                    indexing labeled_balanced_sample_strong.csv [===================] 4.93GB/s, eta:  0s                                                                                    indexing labeled_balanced_sample_combined.csv [=================] 4.57GB/s, eta:  0s                                                                                                   dataset    kernel class avg_F1_score sd_F1_score avg_macro_F1
1    strong_unbalanced svmLinear   emp    0.5453997  0.01072482    0.5595948
2    strong_unbalanced svmLinear   dur    0.4992998  0.12707495    0.5595948
3    strong_unbalanced svmLinear  none    0.6340850  0.02453850    0.5595948
4      strong_balanced svmLinear   emp    0.6944871  0.04169330    0.6369920
5      strong_balanced svmLinear   dur    0.7051404  0.02818215    0.6369920
6      strong_balanced svmLinear  none    0.5113484  0.10495885    0.6369920
7  combined_unbalanced svmLinear   emp    0.5772205  0.02836139    0.6150253
8  combined_unbalanced svmLinear   dur    0.4651163          NA    0.6150253
9  combined_unbalanced svmLinear  none    0.6956186  0.02000829    0.6150253
10   combined_balanced svmLinear   emp    0.6787354  0.05910413    0.5963063
11   combined_balanced svmLinear   dur    0.5763333  0.03121997    0.5963063
12   combined_balanced svmLinear  none    0.5338501  0.05714987    0.5963063
   sd_macro_F1
1   0.03713375
2   0.03713375
3   0.03713375
4   0.05649625
5   0.05649625
6   0.05649625
7   0.01930767
8   0.01930767
9   0.01930767
10  0.01174143
11  0.01174143
12  0.01174143
              dataset    kernel      C avg_macro_f1
1   strong_unbalanced svmLinear 0.1250    0.5636300
2     strong_balanced svmLinear 0.0625    0.7013630
3 combined_unbalanced svmLinear 0.5000    0.6307658
4   combined_balanced svmLinear 8.0000    0.6096406
wrote 1.09kB in  0s, 64.63MB/swrote 1.00TB in  0s, 12.19PB/s                                                                                  Completed: code/classification_svm.R in 319.6033 seconds

Running: code/prediction_svm.R 
indexing test_sentences.csv [=================================] 272.14MB/s, eta:  0s                                                                                    Applying model: models/models/svmLinear/strong_unbalanced/seed_42/C_0.125/model.rds 
Applying model: models/models/svmLinear/strong_unbalanced/seed_123/C_0.125/model.rds 
Applying model: models/models/svmLinear/strong_unbalanced/seed_999/C_0.125/model.rds 
Applying model: models/models/svmLinear/strong_balanced/seed_42/C_0.0625/model.rds 
Applying model: models/models/svmLinear/strong_balanced/seed_123/C_0.0625/model.rds 
Applying model: models/models/svmLinear/strong_balanced/seed_999/C_0.0625/model.rds 
Applying model: models/models/svmLinear/combined_unbalanced/seed_42/C_0.5/model.rds 
Applying model: models/models/svmLinear/combined_unbalanced/seed_123/C_0.5/model.rds 
Applying model: models/models/svmLinear/combined_unbalanced/seed_999/C_0.5/model.rds 
Applying model: models/models/svmLinear/combined_balanced/seed_42/C_8/model.rds 
Applying model: models/models/svmLinear/combined_balanced/seed_123/C_8/model.rds 
Applying model: models/models/svmLinear/combined_balanced/seed_999/C_8/model.rds 
wrote 822.00B in  0s, 265.21MB/s                                                                                  wrote 1.00TB in  0s, 606.81TB/s                                                                                  Completed: code/prediction_svm.R in 0.97627 seconds

Running: code/analysis_main_labeled.R 
indexing classification_results_svm_final.csv [===============] 727.71MB/s, eta:  0s                                                                                    indexing classification_results_semisupervised_final.csv [====] 488.48MB/s, eta:  0s                                                                                    indexing classification_results_prompting_final.csv [===========] 2.11GB/s, eta:  0s                                                                                    indexing classification_results_prompting_gpt_mini.csv [========] 1.01GB/s, eta:  0s                                                                                    Completed: code/analysis_main_labeled.R in 0.835304 seconds

Running: code/analysis_main_functional_tests.R 
indexing test_sentences_prediction_svm.csv [====================] 2.13GB/s, eta:  0s                                                                                    indexing test_sentences_predictions_semi.csv [==================] 4.26GB/s, eta:  0s                                                                                    indexing test_sentences_final_prompting_predictions.csv [=====] 584.00MB/s, eta:  0s                                                                                    indexing test_sentences.csv [=================================] 289.14MB/s, eta:  0s                                                                                    [1] "gpt"
[1] "explicit"
# A tibble: 36 × 8
   text              expected_label method label_type prompting_strategy xx    value
   <chr>             <chr>          <chr>  <chr>      <chr>              <chr> <chr>
 1 Ich bin einfühls… emp            gpt    explicit   zero               pred… emp  
 2 Ich bin einfühls… emp            gpt    explicit   few                pred… emp  
 3 Ich zeige Verstä… emp            gpt    explicit   zero               pred… emp  
 4 Ich zeige Verstä… emp            gpt    explicit   few                pred… emp  
 5 Ich bin mitfühle… emp            gpt    explicit   zero               pred… emp  
 6 Ich bin mitfühle… emp            gpt    explicit   few                pred… emp  
 7 Ich bin eher har… none           gpt    explicit   zero               pred… none 
 8 Ich bin eher har… none           gpt    explicit   few                pred… none 
 9 Ich zeige wenig … none           gpt    explicit   zero               pred… none 
10 Ich zeige wenig … none           gpt    explicit   few                pred… none 
# ℹ 26 more rows
# ℹ 1 more variable: dataset_label <chr>
# ℹ Use `print(n = ...)` to see more rows
[1] "gpt"
[1] "combined"
# A tibble: 36 × 8
   text              expected_label method label_type prompting_strategy xx    value
   <chr>             <chr>          <chr>  <chr>      <chr>              <chr> <chr>
 1 Ich bin einfühls… emp            gpt    combined   zero               pred… emp  
 2 Ich bin einfühls… emp            gpt    combined   few                pred… emp  
 3 Ich zeige Verstä… emp            gpt    combined   zero               pred… emp  
 4 Ich zeige Verstä… emp            gpt    combined   few                pred… emp  
 5 Ich bin mitfühle… emp            gpt    combined   zero               pred… emp  
 6 Ich bin mitfühle… emp            gpt    combined   few                pred… emp  
 7 Ich bin eher har… none           gpt    combined   zero               pred… none 
 8 Ich bin eher har… none           gpt    combined   few                pred… none 
 9 Ich zeige wenig … none           gpt    combined   zero               pred… emp  
10 Ich zeige wenig … none           gpt    combined   few                pred… emp  
# ℹ 26 more rows
# ℹ 1 more variable: dataset_label <chr>
# ℹ Use `print(n = ...)` to see more rows
[1] "llama"
[1] "explicit"
# A tibble: 36 × 8
   text              expected_label method label_type prompting_strategy xx    value
   <chr>             <chr>          <chr>  <chr>      <chr>              <chr> <chr>
 1 Ich bin einfühls… emp            llama  explicit   zero               pred… emp  
 2 Ich bin einfühls… emp            llama  explicit   few                pred… emp  
 3 Ich zeige Verstä… emp            llama  explicit   zero               pred… emp  
 4 Ich zeige Verstä… emp            llama  explicit   few                pred… emp  
 5 Ich bin mitfühle… emp            llama  explicit   zero               pred… emp  
 6 Ich bin mitfühle… emp            llama  explicit   few                pred… emp  
 7 Ich bin eher har… none           llama  explicit   zero               pred… emp,…
 8 Ich bin eher har… none           llama  explicit   few                pred… dur  
 9 Ich zeige wenig … none           llama  explicit   zero               pred… emp  
10 Ich zeige wenig … none           llama  explicit   few                pred… emp  
# ℹ 26 more rows
# ℹ 1 more variable: dataset_label <chr>
# ℹ Use `print(n = ...)` to see more rows
[1] "llama"
[1] "combined"
# A tibble: 36 × 8
   text              expected_label method label_type prompting_strategy xx    value
   <chr>             <chr>          <chr>  <chr>      <chr>              <chr> <chr>
 1 Ich bin einfühls… emp            llama  combined   zero               pred… emp  
 2 Ich bin einfühls… emp            llama  combined   few                pred… emp  
 3 Ich zeige Verstä… emp            llama  combined   zero               pred… emp  
 4 Ich zeige Verstä… emp            llama  combined   few                pred… emp  
 5 Ich bin mitfühle… emp            llama  combined   zero               pred… emp  
 6 Ich bin mitfühle… emp            llama  combined   few                pred… emp  
 7 Ich bin eher har… none           llama  combined   zero               pred… emp  
 8 Ich bin eher har… none           llama  combined   few                pred… none 
 9 Ich zeige wenig … none           llama  combined   zero               pred… emp  
10 Ich zeige wenig … none           llama  combined   few                pred… emp  
# ℹ 26 more rows
# ℹ 1 more variable: dataset_label <chr>
# ℹ Use `print(n = ...)` to see more rows
[1] "deepseek"
[1] "explicit"
# A tibble: 36 × 8
   text              expected_label method label_type prompting_strategy xx    value
   <chr>             <chr>          <chr>  <chr>      <chr>              <chr> <chr>
 1 Ich bin einfühls… emp            deeps… explicit   zero               pred… emp  
 2 Ich bin einfühls… emp            deeps… explicit   few                pred… emp  
 3 Ich zeige Verstä… emp            deeps… explicit   zero               pred… emp  
 4 Ich zeige Verstä… emp            deeps… explicit   few                pred… emp  
 5 Ich bin mitfühle… emp            deeps… explicit   zero               pred… emp  
 6 Ich bin mitfühle… emp            deeps… explicit   few                pred… emp  
 7 Ich bin eher har… none           deeps… explicit   zero               pred… none 
 8 Ich bin eher har… none           deeps… explicit   few                pred… none 
 9 Ich zeige wenig … none           deeps… explicit   zero               pred… none 
10 Ich zeige wenig … none           deeps… explicit   few                pred… none 
# ℹ 26 more rows
# ℹ 1 more variable: dataset_label <chr>
# ℹ Use `print(n = ...)` to see more rows
[1] "deepseek"
[1] "combined"
# A tibble: 36 × 8
   text              expected_label method label_type prompting_strategy xx    value
   <chr>             <chr>          <chr>  <chr>      <chr>              <chr> <chr>
 1 Ich bin einfühls… emp            deeps… combined   zero               pred… emp  
 2 Ich bin einfühls… emp            deeps… combined   few                pred… emp  
 3 Ich zeige Verstä… emp            deeps… combined   zero               pred… emp  
 4 Ich zeige Verstä… emp            deeps… combined   few                pred… emp  
 5 Ich bin mitfühle… emp            deeps… combined   zero               pred… emp  
 6 Ich bin mitfühle… emp            deeps… combined   few                pred… emp  
 7 Ich bin eher har… none           deeps… combined   zero               pred… none 
 8 Ich bin eher har… none           deeps… combined   few                pred… none 
 9 Ich zeige wenig … none           deeps… combined   zero               pred… none 
10 Ich zeige wenig … none           deeps… combined   few                pred… none 
# ℹ 26 more rows
# ℹ 1 more variable: dataset_label <chr>
# ℹ Use `print(n = ...)` to see more rows
Completed: code/analysis_main_functional_tests.R in 1.613953 seconds

Running: code/analysis_main_partisan_differences_GER.R 
indexing unlabaled_prediction_svm.csv [===----------------------] 1.09TB/s, eta:  0sindexing unlabaled_prediction_svm.csv [=========================] 1.16GB/s, eta:  0s                                                                                    indexing unlabeled_predictions_semisupvervised.csv [----------] 205.81GB/s, eta:  0sindexing unlabeled_predictions_semisupvervised.csv [============] 1.10GB/s, eta:  0s                                                                                    indexing unlabaled_prediction_prompting_deepseek.csv [==========] 6.90TB/s, eta:  0s                                                                                    indexing unlabaled_prediction_prompting_deepseek.csv [========] 365.32MB/s, eta:  0s                                                                                    indexing unlabaled_prediction_prompting_gpt.csv [===============] 3.70TB/s, eta:  0s                                                                                    indexing unlabaled_prediction_prompting_gpt.csv [=============] 380.50MB/s, eta:  0s                                                                                    indexing unlabaled_prediction_prompting_llama.csv [=============] 7.52TB/s, eta:  0s                                                                                    indexing unlabaled_prediction_prompting_llama.csv [===========] 427.74MB/s, eta:  0s                                                                                    # A tibble: 7 × 4
  method   party  share_mean share_sd
  <chr>    <chr>       <dbl>    <dbl>
1 deepseak LINKE       0.193    0.046
2 deepseak GREENS      0.121    0.034
3 deepseak SPD         0.096    0.026
4 deepseak CDU         0.077    0.021
5 deepseak AFD         0.064    0.004
6 deepseak FDP         0.057    0.014
7 deepseak CSU         0.036    0.02 
# A tibble: 7 × 4
  method   party  share_mean share_sd
  <chr>    <chr>       <dbl>    <dbl>
1 deepseak SPD         0.099    0.03 
2 deepseak CDU         0.097    0.037
3 deepseak CSU         0.089    0.03 
4 deepseak GREENS      0.076    0.018
5 deepseak FDP         0.076    0.012
6 deepseak AFD         0.064    0.019
7 deepseak LINKE       0.052    0.003
indexing chapel.csv [==========================================] 81.26GB/s, eta:  0s                                                                                    Completed: code/analysis_main_partisan_differences_GER.R in 4.577095 seconds

Running: code/analysis_main_partisan_differences_USA.R 
indexing trump_labeled.csv [==================================] 413.31GB/s, eta:  0s                                                                                    indexing trump_labeled.csv [==================================] 429.34MB/s, eta:  0s                                                                                    Completed: code/analysis_main_partisan_differences_USA.R in 0.6496201 seconds

Replication completed at:  1758642289 

===== Runtime Summary (seconds) =====
code/helper_analysis.R : 0.005398989 seconds
code/classification_svm.R : 319.6033 seconds
code/prediction_svm.R : 0.97627 seconds
code/analysis_main_labeled.R : 0.835304 seconds
code/analysis_main_functional_tests.R : 1.613953 seconds
code/analysis_main_partisan_differences_GER.R : 4.577095 seconds
code/analysis_main_partisan_differences_USA.R : 0.6496201 seconds
Total runtime: 328.2609 seconds
